How to Write a Data Analysis Report

A report on data analysis is an important document that helps to make sense of the information gathered during a research or business project. It focuses on how the data supports and relates to a hypothesis. It is also designed to assist in making decisions and provide conclusions.

Data analysis includes two broad methods – descriptive analytics and inferential analyses. Descriptive analytics are focused on what has happened over a period of time, for example, the number of views or sales for a product. Diagnostic analytics, on the other hand look at the reasons for the reason for what taken place. This typically involves more diverse data sources and some speculation (e.g., how did the weather affect sales of beer?).

Before you begin data analysis, you need to clean the raw data and “scrub” it. This includes removing duplicate observations, and ensuring that each observation is complete and accurate. This can also include standardizing formats, and identifying errors that might be causing problems.

The next step is read this post here to transform the data into a comprehensible visual format. This can be done using data mining or data visualization software. In this case it is important to consider your audience. You might need to develop an alphabetical list of terms or explain your method in case your readers are unfamiliar with the terminology.